49results about How to "Improve the accuracy of face recognition" patented technology

The invention discloses a people encircled method and a device based on social networking services (SNS). The method comprises the steps of loading a human face recognizer, detecting human face parts in once uploading photos of a user in a batch mode, generating independent human face pictures and displaying the pictures; and identifying and storing people encircled information by the user according to the displayed human face pictures. When the people encircled method and the device based on the SNS are used, the complexity of user operation can be lowered, and the precision of human face identification is improved.

The invention discloses a face recognition method based on dictionary learning models. The method comprises the following steps of: mapping trained and tested face images to a low-dimension space to acquire a training signal set matrix; establishing the dictionary learning models which comprise an irrelevant dictionary learning (IDL) model and an unconstrained irrelevant dictionary learning (U-IDL) model; inputting the training signal set matrix into the IDL and U-IDL models, and solving the models to acquire an irrelevant dictionary and a linear classifier; acquiring a corresponding sparse vector of each picture belonging to a test sample based on the dictionary acquired in the last step by using a sparse expression algorithm; and inputting the sparse vectors into the linear classifier to acquire category labels of test sample pictures, wherein the result expressed by the category labels is used as the face recognition result. The invention provides the new models and the new method for dictionary learning problems in sparse expression, and the models and the method can be applied to mode identification and image classification problem under common conditions; and particularly, aiming at face recognition application, the dictionary learning method can achieve relatively high face recognition accuracy.